Deep Learning

Deep Learning Meaning

A function of artificial intelligence, deep learning imitates the workings of a human brain when it comes to creating patterns and processing data while making a decision.

Also known as deep neural network or deep neural learning, in artificial intelligence, deep learning is a part of machine learning that comprises networks that are capable of learning unstructured data.

How Does it Work?

Along with the digital world, deep learning has been evolving for years as well. This evolution has brought a data explosion, in every form, from every part of the world. Simply known as big data, it is drawn from a variety of sources, such as online cinemas, e-commerce platforms, search engines, social media, and more.

This massive amount of data can be accessed instantly and shared through a variety of apps. However, since the majority of data remains unstructured, it could have taken decades altogether for humans to figure out and get adequate information.

With this realization, AI systems came into the limelight to provide automated support; thus, the development of deep learning took place.

Deep Learning Example

Using the combination of machine learning and fraud detection system, it becomes easier to come up with a deep learning example. If this system creates a model with parameters developed around an amount a user receives or sends, the deep learning method can begin the development on the Basis of results provided by machine learning.

Every layer of the neural network develops on the previous layer with additional data, like IP address, Credit Score, user, sender, and several other features that may have taken years to connect together if a human was processing it.

Basically, the algorithms of deep learning are trained to create patterns and detect fraudulent investigation whenever a pattern signals toward the same. The final layer transmits a signal to the analysts who may decide whether to freeze the accounts until pending investigations have been finalized.

Deep learning is one methodology that can be used across industries for an array of tasks. Whether it is about a commercial app using image recognition or an open-source platform that asks for user recommendations; there are a variety of ways through which the possibilities of deep learning can be explored.